Muppy demonstrates a Python implementation of the map/reduce pattern using the concurrent.futures library.
- install recommend extension from ./vscode/extensions.json
- install pipenv and run command:
pipenv install- start debugging
Optimize task execution for maximum CPU utilization. Here's how:
Glossary:
micro-task: basic calculation unit producing a computed result.task: contains one or more micro-tasks, each task has its own processing method for micro-task results.
Solution:
Implement the map/reduce pattern.
- Fetch all micro-tasks and execute them using concurrent.futures.
- Ensure each micro-task returns both the calculation result and its corresponding
task ID. - Upon completion of micro-tasks, construct the final reduced result based on task IDs.